US Stock Radar

Professional US stock radar for screening, deep dives, and watchlist alerts using public market data. Use when the user wants ranked stock candidates, A/B/C/D signal grading, timestamped evidence, confidence-aware summaries, and cleaner pro or beginner explanations for US equities.

Run a practical US stock workflow in 3 modes:

• screener: rank a ticker universe by multi-factor signal score
• deep-dive: analyze one ticker with fundamentals + technical proxies
• watchlist: monitor custom tickers and output alert candidates

This skill is a read-only heuristic market workflow, not a full institutional research terminal. Public free endpoints may be partial, delayed, or rate-limited; surface those gaps explicitly.

Workflow

1. Run scripts/us_stock_radar.py with the appropriate mode.
2. Read JSON output first; treat it as the source of truth.
3. Explain conclusions with explicit caveats, confidence, and data gaps.
4. Avoid deterministic predictions; present signal grade, trigger reasons, and partial-data warnings.
5. If some endpoints fail, continue with degraded coverage and expose the reduction in confidence.

Quick Audit Path

For a fast review:

1. Run python3 skills/us-stock-radar/scripts/us_stock_radar.py --sources
2. Run python3 skills/us-stock-radar/scripts/us_stock_radar.py --mode screener --json
3. Confirm the script only performs read-only public HTTP requests.
4. Verify that availability, data_gaps, and degraded_mode are exposed when coverage is partial.

Commands

bash

python3 skills/us-stock-radar/scripts/us_stock_radar.py --sources
python3 skills/us-stock-radar/scripts/us_stock_radar.py --version
python3 skills/us-stock-radar/scripts/us_stock_radar.py --mode screener --tickers "AAPL,MSFT,NVDA,AMZN,GOOGL"
python3 skills/us-stock-radar/scripts/us_stock_radar.py --mode deep-dive --ticker AAPL --audience pro
python3 skills/us-stock-radar/scripts/us_stock_radar.py --mode deep-dive --ticker TSLA --audience beginner --lang zh
python3 skills/us-stock-radar/scripts/us_stock_radar.py --mode watchlist --tickers "AAPL,NVDA,TSLA" --event-mode high-alert
python3 skills/us-stock-radar/scripts/us_stock_radar.py --mode screener --json

Safety / Scope Boundary

• Read-only skill: query public market endpoints only.
• Use no authentication, cookies, brokerage accounts, or private APIs.
• Place no orders, execute no trades, and mutate no portfolio state.
• Write no files and send no outbound messages as part of normal use.
• Produce analysis only; not investment advice.

Output Policy

• Default language behavior: auto.
• If --lang auto and the prompt contains Chinese, switch final narrative to Chinese.
• If --lang auto and no Chinese is detected, use English.
• --json output is language-neutral.
• Always include:
  • as_of_utc
  • mode
  • event_mode
  • availability
  • data_gaps
  • degraded_mode
  • confidence
  • sources
  • heuristic notes / caveats
• Audience modes:
  • pro: concise signal summary
  • beginner: plain-language interpretation
• Event modes:
  • normal
  • high-alert (stricter thresholds)

Scoring (A/B/C/D)

Signal score combines heuristic checks such as:

• valuation range (PE)
• RSI health
• volume expansion
• price vs MA50
• revenue growth
• ROE quality

Grades:

• A: score >= 5
• B: score = 4
• C: score = 2-3
• D: score <= 1

Interpretation Guardrails

• Grades are heuristic summaries, not price targets.
• Missing fundamentals should lower confidence rather than silently default bullish/bearish.
• Free-market endpoints can be delayed, partially populated, or blocked by region.
• Premarket / scheduled workflows should keep timestamps explicit.

Data Sources

• Yahoo Finance quote API: /v7/finance/quote
• Yahoo Finance chart API: /v8/finance/chart
• Yahoo Finance quoteSummary API: /v10/finance/quoteSummary
• Stooq public fallback: daily quote / history CSV endpoints